Senior Manager - Data Science

Job Summary:

The Senior Manager, Data Science will lead a team of data scientists to develop advanced analytical models and drive data-driven decision-making across the organization.

This role requires a strong blend of technical expertise, strategic thinking, and leadership skills.

The Senior Manager will collaborate with cross-functional teams to identify business opportunities, design and implement innovative data solutions, and contribute to the company's overall strategic goals.

Key Responsibilities:

Leadership and Team Management:

- Lead, mentor, and develop a team of data scientists.

- Foster a culture of innovation, collaboration, and continuous learning.

- Set clear goals and performance expectations for the team.

Strategy and Vision:

- Define and implement the data science strategy aligned with the company's objectives.

- Identify and prioritize data science projects that drive business value.

- Stay abreast of industry trends and emerging technologies to keep the organization at the forefront of data science.

Technical Expertise:

- Oversee the development and deployment of machine learning models and algorithms.

- Ensure best practices in data modeling, coding, and experimental design.

- Provide technical guidance on complex data science projects.

Collaboration and Communication:

- Work closely with business leaders to understand their needs and translate them into data science initiatives.

- Communicate findings and recommendations to both technical and non-technical stakeholders.

- Collaborate with data engineering, IT, and other departments to ensure data availability and integrity.

Project Management:

- Manage multiple data science projects, ensuring timely and successful delivery.

- Allocate resources effectively and balance team workloads.

- Monitor project progress and make adjustments as needed.

Performance Measurement:

- Develop metrics to measure the impact and effectiveness of data science initiatives.

- Continuously evaluate and refine models and strategies based on performance data.

- Report on key performance indicators to senior management.

Qualifications:

Education:

- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

- Master's or Ph.D. preferred.

Experience:

- 10+ years of experience in data science or a related field.

- 3+ years in a leadership or managerial role within a data science team.

- Proven track record of delivering impactful data science solutions in a business context.

Technical Skills:

- Expertise in statistical analysis, machine learning, and predictive modeling.

- Proficiency in programming languages such as Python, R, or SQL.

- Proven experience / Subject Matter expert in one or more of the following:

1. Causal modeling / experimentation.

2. Price elasticity / pricing models.

3. Forecasting / time-series models.

4. Optimization or classical ML algorithms.

5. Recommendation.

- Experience with data visualization tools like Tableau, Power BI, or similar.

- Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure).

Soft Skills:

- Strong analytical and problem-solving abilities.

- Excellent communication and presentation skills.

- Ability to translate complex technical concepts into actionable business insights.

- Strong organizational and project management skills.

Skills:

Sql, Python, Statistics, Machine Learning, Deep Learning, Data Science, Forecasting, Causal Inference, Recommendation, Pricing, Price Elasticity, Revenue Growth Management.